octoberxin-critique

star 1

5-stage intelligence critique pipeline. Multi-agent critique system for deep analysis, verification, and synthesis of research outputs.

0x-wzw By 0x-wzw schedule Updated 3/24/2026

name: octoberxin-critique version: 1.0.0 description: "5-stage intelligence critique pipeline. Multi-agent critique system for deep analysis, verification, and synthesis of research outputs." author: OctoberXin (Research Specialist) keywords: [critique, analysis, verification, synthesis, multi-agent, research, pipeline, octoberxin] metadata: hermes: emoji: "๐Ÿ”ฌ" depends: - research-pipeline - multi-agent-swarm - cost-router triggers: - "research completion" - "content verification request" - "deep analysis required" - "critique mode" model_tier: "T2/T3"


PLATFORM_MAPPING

OpenClaw โ†’ Hermes โ€” All ~/.openclaw/ paths and openclaw CLI commands in this document map to ~/.hermes/ and hermes / delegate_task / todo equivalents. See the root SKILL.md for the full mapping table.


OctoberXin Critique ๐Ÿ”ฌ

5-stage intelligence critique pipeline. A multi-agent system designed for rigorous analysis, verification, and synthesis of research outputs through specialized critique agents.

Overview

  1. OctPortal โ€” Receives and routes incoming research content
  2. OctMine โ€” Extracts key insights, claims, and evidence
  3. OctJudge โ€” Prioritizes and scores critical elements
  4. OctSkeptic โ€” Verifies claims against sources and logic
  5. OctWeave โ€” Synthesizes final polished critique output

The 5-Stage Pipeline

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”     โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”     โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”     โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”     โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚  Oct     โ”‚โ”€โ”€โ”€โ”€โ†’โ”‚  Oct     โ”‚โ”€โ”€โ”€โ”€โ†’โ”‚  Oct     โ”‚โ”€โ”€โ”€โ”€โ†’โ”‚  Oct     โ”‚โ”€โ”€โ”€โ”€โ†’โ”‚  Oct     โ”‚
โ”‚  Portal  โ”‚     โ”‚  Mine    โ”‚     โ”‚  Judge   โ”‚     โ”‚ Skeptic  โ”‚     โ”‚  Weave   โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜     โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜     โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜     โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜     โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
     โ”‚                 โ”‚                 โ”‚                 โ”‚                 โ”‚
  Receipt         Extraction      Prioritization    Verification     Synthesis
     โ”‚                 โ”‚                 โ”‚                 โ”‚                 โ”‚
  Ingest          Pull out         Rank by         Fact-check        Weave
  content          insights        importance       & validate        final
                                                                        output

Stage 1: Receipt (OctPortal)

  • Ingests research content, documents, or claims
  • Validates input format and completeness
  • Routes to appropriate downstream agents
  • Creates audit trail for traceability

Stage 2: Extraction (OctMine)

  • Identifies key claims and assertions
  • Extracts supporting evidence and sources
  • Maps dependencies between claims
  • Flags missing or weak evidence

Stage 3: Prioritization (OctJudge)

  • Scores claims by impact and risk
  • Ranks evidence strength
  • Identifies critical path items
  • Allocates verification resources

Stage 4: Verification (OctSkeptic)

  • Cross-references sources
  • Identifies logical fallacies
  • Tests assumptions
  • Flags contradictions

Stage 5: Synthesis (OctWeave)

  • Combines verified findings
  • Generates structured critique report
  • Provides actionable recommendations
  • Outputs final intelligence summary

Usage

Trigger Full Pipeline

# Run complete 5-stage critique on research output
critique_result = await run_critique_pipeline(
    content=research_output,
    depth="comprehensive",  # or "quick", "standard"
    focus_areas=["factual_accuracy", "logical_consistency", "source_quality"]
)

Individual Stage Invocation

# Run specific stage only
portal_result = await oct_portal.ingest(content)
mine_result = await oct_mine.extract(portal_result)
judge_result = await oct_judge.prioritize(mine_result)
skeptic_result = await oct_skeptic.verify(judge_result)
weave_result = await oct_weave.synthesize(skeptic_result)

Command Line

# Full pipeline critique
delegate_task with critique skill + adversarial-stress-test --input research.md --output critique.md

# Quick critique (stages 1, 4, 5 only)
delegate_task with critique skill + adversarial-stress-test --input research.md --mode quick

# Deep critique (all stages with recursion)
delegate_task with critique skill + adversarial-stress-test --input research.md --mode deep --recursive

Agent Specifications

Agent Tier Role Primary Model
OctPortal T3 Receipt & Routing rnj-1:8b
OctMine T2 Extraction deepseek-v4-flash
OctJudge T2 Prioritization deepseek-v4-flash
OctSkeptic T2 Verification deepseek-v4-flash
OctWeave T2 Synthesis deepseek-v4-flash

Output Format

# Critique Report: [Subject]

## Executive Summary
[High-level findings in 2-3 sentences]

## Critical Findings
1. **[Severity]** Finding description
   - Evidence: [source]
   - Impact: [consequence]
   - Recommendation: [action]

## Verified Claims
- โœ… [Claim with strong evidence]
- โš ๏ธ [Claim with partial evidence]

## Red Flags
- ๐Ÿšฉ [Critical issue requiring attention]

## Recommendations
1. [Priority 1 recommendation]
2. [Priority 2 recommendation]

## Confidence Score: [X.X]/5.0

Configuration

{
  "octoberxinCritique": {
    "enabled": true,
    "defaultDepth": "standard",
    "recursiveVerification": false,
    "parallelStages": ["OctMine", "OctJudge"],
    "minConfidenceThreshold": 3.0,
    "logToMemory": true,
    "generateDiff": true
  }
}

Best Practices

  1. Use full pipeline for high-stakes research validation
  2. Use quick mode for rapid sanity checks
  3. Enable recursive mode when dealing with complex nested claims
  4. Always review OctSkeptic output โ€” it's the quality gate
  5. Log all critiques to memory for pattern analysis
  6. Compare against historical critiques to identify recurring issues

Integration Points

  • OctoberXin: Primary user, research specialist
  • Halloween: Code/architecture review mode
  • October: Coordination and routing
  • Memory System: Stores all critique outputs for retrieval
  • Cost Router: Manages model tier allocation per stage

Limitations

  • Verification limited by source accessibility
  • Cannot verify claims without sufficient evidence
  • Recursive mode increases token usage significantly
  • Best suited for analytical content; less effective for creative work
Install via CLI
npx skills add https://github.com/0x-wzw/october-swarm-skills --skill octoberxin-critique
Repository Details
star Stars 1
call_split Forks 0
navigation Branch main
article Path SKILL.md
More from Creator